Federated Learning Solutions Market Size, Share 2022-2028 | Rising Demand
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Federated learning is a revolutionary innovation technique that is still in its experimental stage. Currently, healthcare and life sciences, and BFSI verticals have the most developments. Various other verticals are also concentrating on information security, tailoring, and referral, which are all important factors in federated learning solution success.
Major vendors in the global federated learning solutions market include NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Intel(US), Owkin(US), Intellegens(UK) Edge Delta(US), Enveil(US), Lifebit(UK), DataFleets(US), Secure AI Labs(US), and Sherpa.AI(Spain).
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As per AS-IS scenario, among verticals, the Healthcare and Life Sciences segment to hold the highest market size during the forecast period
The federated learning market is segmented on verticals into BFSI, healthcare and life sciences, retail and eCommerce, energy and utilities, and manufacturing, IT and telecommunications, automotive and transportation and other verticals (media and entertainment, and government). As per AS-IS scenario, the healthcare and life sciences vertical is expected to account for the largest market size during the forecast period. The healthcare and life sciences vertical is under constant pressure to enhance the services it delivers to patients. Unstructured data in the healthcare vertical is growing exponentially. The access to unstructured data, such as output from medical devices, image reports, and lab reports, is not useful to improve patient health. The healthcare and life sciences vertical also include pharmaceutical companies. This vertical is a leader in adopting federated learning solutions with multiple research projects, consortiums, and several deployments.
Europe to hold the largest market size during the forecast period
As per AS-IS scenario, Europe, followed by North America, is estimated to account for the largest market size in the federated learning market during the forecast period respectively. Europe can be considered as one of the early adopters of advanced technologies due to the technical expertise of enterprises in the region. Though businesses in the region witness slow adoption trends, they are focusing on digital transformation, particularly with the integration of new technologies, such as IoT, ML, and AI. Countries in Europe such as the UK, Germany, and France are focusing on developments in federated learning. Countries. In North America, such as the US and Canada, have boosted their investments in sophisticated technologies including AI, IoT, and ML to acquire vast volumes of data from outside organizations, contributing to the region's market growth. Various verticals in North America are interested in investing in federated learning solutions, including healthcare and life sciences, retail, and eCommerce, and BFSI. Federated learning was born at the convergence of AI, blockchain, edge computing, and IoT. This is expected to drive the growth of federated learning solutions in the region.
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